Job Title Data Engineer Designation: Data Engineering Job Summary
We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate will possess a strong foundation in Database Administration (DBA), Data Modeling, and Data Engineering. This role is critical in designing, implementing, and maintaining data systems that support our business objectives. The Data Engineer will work closely with data scientists, analysts, and other stakeholders to ensure data integrity and accessibility.
Responsibilities
Design, develop, and maintain robust data pipelines and ETL processes to support data integration and transformation. Implement and manage database systems ensuring optimal performance, security, and reliability. Collaborate with cross-functional teams to gather requirements and translate them into technical specifications. Develop and maintain data models that accurately represent business processes and data flows. Monitor and troubleshoot data-related issues ensuring timely resolution and minimal impact on operations. Conduct data quality assessments and implement measures to enhance data accuracy and consistency. Stay updated with industry trends and best practices in data engineering and database management. Document data architecture processes and workflows to ensure knowledge sharing and compliance.
Mandatory Skills
• Strong knowledge of Database Administration (DBA) principles and practices. • Proficiency in Data Modeling techniques and tools. • Experience with Data Engineering concepts including data warehousing and data lakes. • Familiarity with SQL and NoSQL databases. • Ability to design and implement ETL processes using relevant tools and technologies. • Understanding of data governance and data quality frameworks.
Preferred Skills
• Experience with cloud-based data solutions (e.g., AWS, Azure, Google Cloud). • Knowledge of big data technologies (e.g., Hadoop, Spark). • Familiarity with programming languages such as Python, Java, or Scala. • Experience with data visualization tools (e.g., Tableau, Power BI). • Understanding of machine learning concepts and their application in data engineering.
Qualifications
• Bachelors degree in Computer Science, Information Technology, or a related field. • Relevant certifications in Database Management or Data Engineering are a plus. • Strong analytical and problem-solving skills. • Excellent communication and collaboration abilities. • Ability to work independently and as part of a team in a fast-paced environment.
About Mphasis
Mphasis applies next-generation technology to help enterprises transform businesses globally. Customer centricity is foundational to Mphasis and is reflected in the Mphasis Front2Back Transformation approach. Front2Back uses the exponential power of cloud and cognitive to provide hyper-personalized CX2C2TM1 digital experience to clients and their end customers.
Mphasis Service Transformation approach helps 'shrink the core through the application of digital technologies across legacy environments within an enterprise enabling businesses to stay ahead in a changing world. Mphasis core reference architectures and tools speed and innovation with domain expertise and specialization are key to building strong relationships with marquee clients.
Equal Opportunity Employer
Mphasis is an equal opportunity/affirmative action employer. We provide equal employment opportunities to applicants and existing associates and evaluate qualified candidates without regard to race, gender, national origin, ancestry, age, color, religious creed, marital status, genetic information, sexual orientation, gender identity, gender expression, sex, including pregnancy, breast feeding, and related medical conditions, mental or physical disability, military and veteran status, or any other status or condition protected by applicable federal, state, or local laws, governmental regulations, and executive orders.
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